Part 12: Data Mining-ForecastingInternational audienceIn this paper, we describe a text-to-animation framework for TV weather forecast sign language presentation. To this end, we analyzed the last three years’ weather forecast scripts to obtain the frequency of each word and determine the order of motion capture. About 500 sign language words were chosen and motion-captured for the weather forecast purpose, in addition to the existing 2,700 motions prebuilt for daily life. Words that are absent in the sign language dictionary are replaced with synonyms registered in KorLex, the Korean Wordnet, to improve the translation performance. The weather forecast with sign language is serviced via the Internet in an on-demand manner and can be viewed by PC or mobile devices

Although the closed caption broadcasting is provided for almost the whole broadcast time in Korea, the sign language interpretation is not. By translating the closed captions, it is possible to provide three-dimensional (3D) sign language translations for more broadcast time. We propose a sign language broadcasting system for weather forecasts, and extend it for all kind of TV programs. In order to find the frequency of each word, we analysed the last three years' weather forecast scripts, and an opendomain corpus of about 1.2 million words from KBS. We use the Korean wordnet, KorLex, to build the sign language synonym dictionary, and for the word sense disambiguation to improve the translation performance. Optically-captured sign language motions are used for the 3D avatar to present sign language with motion blending. We developed a mobile ondemand sign language weather forecast application, and a real-time sign language interpretation system for all kind of TV programs.